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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 24503
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    Explanations

    terms related to short-term aspects or timeframes

    oai_token-act-pair · gpt-3.5-turbo

    references to short-term concepts or arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Cosponsors
    -1.15
    ©¶æ¥µ
    -0.85
    lez
    -0.77
    rotein
    -0.75
     DRAG
    -0.74
     Atmosp
    -0.73
     Unch
    -0.72
    HOU
    -0.71
     GOODMAN
    -0.68
    iquette
    -0.68
    POSITIVE LOGITS
    sighted
    0.84
     viability
    0.84
     usefulness
    0.81
     gratification
    0.79
     rentals
    0.78
    stay
    0.75
    term
    0.74
     memory
    0.74
    uate
    0.73
     engagements
    0.72
    Activations Density 0.010%

    No Known Activations